M. Eileen Dolan

19.4k total citations
46 papers, 1.9k citations indexed

About

M. Eileen Dolan is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, M. Eileen Dolan has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Genetics. Recurrent topics in M. Eileen Dolan's work include Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Pharmacogenetics and Drug Metabolism (6 papers). M. Eileen Dolan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Pharmacogenetics and Drug Metabolism (6 papers). M. Eileen Dolan collaborates with scholars based in United States, China and United Kingdom. M. Eileen Dolan's co-authors include Shiwei Duan, R C Moschel, R. Stephanie Huang, Navin Pinto, Heather E. Wheeler, A E Pegg, R. Brian Mitchell, Wasim K. Bleibel, Nancy J. Cox and Emily O. Kistner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Oncology.

In The Last Decade

M. Eileen Dolan

46 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Eileen Dolan United States	26	1.2k	347	322	270	189	46	1.9k
Cécile Ged France	27	1.8k 1.5×	189 0.5×	347 1.1×	341 1.3×	436 2.3×	94	2.7k
Samir Lababidi United States	19	1.8k 1.5×	440 1.3×	351 1.1×	630 2.3×	70 0.4×	38	2.7k
V. Joulin France	29	2.0k 1.7×	594 1.7×	322 1.0×	369 1.4×	98 0.5×	67	3.4k
M.N. Gould United States	13	1.2k 1.0×	256 0.7×	295 0.9×	276 1.0×	94 0.5×	21	2.0k
Elza Tiemi Sakamoto‐Hojo Brazil	26	1.1k 0.9×	638 1.8×	177 0.5×	249 0.9×	60 0.3×	111	2.3k
Greg Stelzer United States	10	976 0.8×	268 0.8×	194 0.6×	151 0.6×	199 1.1×	20	2.0k
Olivier Geneste France	22	1.7k 1.4×	435 1.3×	136 0.4×	353 1.3×	168 0.9×	35	2.7k
Yingli Wu China	32	2.2k 1.9×	541 1.6×	145 0.5×	516 1.9×	170 0.9×	145	3.2k
Mariam Aghajan United States	21	1.7k 1.4×	317 0.9×	94 0.3×	260 1.0×	241 1.3×	41	2.9k
Gregory S. Shelness United States	39	1.9k 1.6×	464 1.3×	257 0.8×	266 1.0×	40 0.2×	72	3.8k

Countries citing papers authored by M. Eileen Dolan

Since Specialization

Citations

This map shows the geographic impact of M. Eileen Dolan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Eileen Dolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Eileen Dolan more than expected).

Fields of papers citing papers by M. Eileen Dolan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Eileen Dolan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Eileen Dolan. The network helps show where M. Eileen Dolan may publish in the future.

Co-authorship network of co-authors of M. Eileen Dolan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Eileen Dolan. A scholar is included among the top collaborators of M. Eileen Dolan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Eileen Dolan. M. Eileen Dolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Saulsberry, Loren, et al.. (2025). A National Study Among Diverse US Populations of Exposure to Prescription Medications with Evidence‐Based Pharmacogenomic Information. Clinical Pharmacology & Therapeutics. 117(6). 1793–1802. 1 indexed citations

Dolan, M. Eileen, David P. Hill, Gaurab Mukherjee, et al.. (2020). Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease. Scientific Reports. 10(1). 20848–20848. 27 indexed citations

Dolan, M. Eileen, Richard M. Baldarelli, Susan M. Bello, et al.. (2015). Orthology for comparative genomics in the mouse genome database. Mammalian Genome. 26(7-8). 305–313. 9 indexed citations

Bello, Susan M., Allan Peter Davis, Thomas C. Wiegers, et al.. (2011). Waiting for a Robust Disease Ontology: A Merger of OMIM and MeSH as a Practical Interim Solution.. 2 indexed citations

Wilke, Russell A. & M. Eileen Dolan. (2011). Genetics and Variable Drug Response. JAMA. 306(3). 306–7. 44 indexed citations

O’Donnell, Peter H., Eric R. Gamazon, Wei Zhang, et al.. (2010). Population differences in platinum toxicity as a means to identify novel genetic susceptibility variants. Pharmacogenetics and Genomics. 20(5). 327–337. 23 indexed citations

Zhang, Wei & M. Eileen Dolan. (2009). Use of Cell Lines in the Investigation of Pharmacogenetic Loci. Current Pharmaceutical Design. 15(32). 3782–3795. 25 indexed citations

Evsikov, Alexei V., et al.. (2009). MouseCyc: a curated biochemical pathways database for the laboratory mouse. Genome biology. 10(8). R84–R84. 48 indexed citations

Duan, Shiwei, Shuangli Mi, Wei Zhang, & M. Eileen Dolan. (2009). Comprehensive analysis of the impact of SNPs and CNVs on human microRNAs and their regulatory genes. RNA Biology. 6(4). 412–425. 56 indexed citations

10.

Huang, R. Stephanie, Shiwei Duan, Emily O. Kistner, et al.. (2008). Genetic Variants Contributing to Daunorubicin-Induced Cytotoxicity. Cancer Research. 68(9). 3161–3168. 54 indexed citations

11.

Duan, Shiwei, Wei Zhang, Nancy J. Cox, & M. Eileen Dolan. (2008). FstSNP-HapMap3: a database of SNPs with high population differentiation for HapMap3. Bioinformation. 3(3). 139–141. 26 indexed citations

12.

Zhang, Wei & M. Eileen Dolan. (2008). On the challenges of the HapMap resource. Bioinformation. 2(6). 238–239. 9 indexed citations

13.

Duan, Shiwei, Wei Zhang, Wasim K. Bleibel, Nancy J. Cox, & M. Eileen Dolan. (2008). SNPinProbe_1.0: A database for filtering out probes in the Affymetrix GeneChip® Human Exon 1.0 ST array potentially affected by SNPs. Bioinformation. 2(10). 469–470. 31 indexed citations

14.

Huang, R. Stephanie, Peixian Chen, Shiwei Duan, et al.. (2008). Population-specific GSTM1 copy number variation. Human Molecular Genetics. 18(2). 366–372. 31 indexed citations

15.

Duan, Shiwei, Wasim K. Bleibel, R. Stephanie Huang, et al.. (2007). Mapping Genes that Contribute to Daunorubicin-Induced Cytotoxicity. Cancer Research. 67(11). 5425–5433. 72 indexed citations

16.

Dolan, M. Eileen & Judith A. Blake. (2006). Using ontology visualization to understand annotations and reason about them. 21(19). 12–3. 2 indexed citations

17.

McCarthy, Fiona, Nan Wang, Bindu Nanduri, et al.. (2006). AgBase: a functional genomics resource for agriculture. BMC Genomics. 7(1). 229–229. 235 indexed citations

18.

Wu, Michael H., Peixian Chen, Benjamin Remo, et al.. (2003). Characterization of multiple promoters in the human carboxylesterase 2 gene. Pharmacogenetics. 13(7). 425–435. 36 indexed citations

19.

McDougall, Mark G., et al.. (1994). Substituted O6-Benzylguanine Derivatives and Their Inactivation of Human O6-Alkylguanine-DNA Alkyltransferase. Journal of Medicinal Chemistry. 37(3). 342–347. 53 indexed citations

20.

Sarkar, Aparajita, et al.. (1993). The effects ofO 6-benzylguanine and hypoxia on the cytotoxicity of 1,3-bis(2-chloroethyl)-1-nitrosourea in nitrosourea-resistant SF-763 cells. Cancer Chemotherapy and Pharmacology. 32(6). 477–481. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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